prepare CRAN release 1.1.0

DESCRIPTION

@@ -1,7 +1,7 @@
 Package: tidylog
 Type: Package
 Title: Logging for 'dplyr' and 'tidyr' Functions
-Version: 1.0.2.9000
+Version: 1.1.0
 Authors@R: c(
     person("Benjamin", "Elbers", email = "[email protected]",
     role = c("aut", "cre"), comment = c(ORCID = "0000-0001-5392-3448")),
@@ -24,5 +24,5 @@ Encoding: UTF-8
 LazyData: true
 URL: https://github.com/elbersb/tidylog/
 BugReports: https://github.com/elbersb/tidylog/issues
-RoxygenNote: 7.1.2
+RoxygenNote: 7.2.3
 VignetteBuilder: knitr

NEWS.md

@@ -1,4 +1,4 @@
-# 1.0.2.9000
+# 1.1.0
 
 - switch to Github Actions for CI
 - units package now supported (#51)

README.Rmd

@@ -17,7 +17,7 @@ knitr::opts_chunk$set(
 [![CRAN Version](https://www.r-pkg.org/badges/version/tidylog)](https://CRAN.R-project.org/package=tidylog)
 [![Downloads](http://cranlogs.r-pkg.org/badges/tidylog)](https://CRAN.R-project.org/package=tidylog)
 [![R-CMD-check](https://github.com/elbersb/tidylog/workflows/R-CMD-check/badge.svg)](https://github.com/elbersb/tidylog/actions)
-[![Coverage status](https://codecov.io/gh/elbersb/tidylog/branch/master/graph/badge.svg)](https://codecov.io/github/elbersb/tidylog?branch=master)
+[![Coverage status](https://codecov.io/gh/elbersb/tidylog/branch/master/graph/badge.svg)](https://app.codecov.io/github/elbersb/tidylog?branch=master)
 
 The goal of tidylog is to provide feedback about dplyr and tidyr operations. It provides simple wrapper functions for almost all dplyr and tidyr functions, such as `filter`, `mutate`, `select`, `full_join`, and `group_by`.
 

README.md

@@ -8,7 +8,7 @@ Version](https://www.r-pkg.org/badges/version/tidylog)](https://CRAN.R-project.o
 [![Downloads](http://cranlogs.r-pkg.org/badges/tidylog)](https://CRAN.R-project.org/package=tidylog)
 [![R-CMD-check](https://github.com/elbersb/tidylog/workflows/R-CMD-check/badge.svg)](https://github.com/elbersb/tidylog/actions)
 [![Coverage
-status](https://codecov.io/gh/elbersb/tidylog/branch/master/graph/badge.svg)](https://codecov.io/github/elbersb/tidylog?branch=master)
+status](https://codecov.io/gh/elbersb/tidylog/branch/master/graph/badge.svg)](https://app.codecov.io/github/elbersb/tidylog?branch=master)
 
 The goal of tidylog is to provide feedback about dplyr and tidyr
 operations. It provides simple wrapper functions for almost all dplyr
@@ -97,7 +97,7 @@ for more information.
 
 ## More examples
 
-### filter, distinct, drop\_na
+### filter, distinct, drop_na
 
 ``` r
 a <- filter(mtcars, mpg > 20)
@@ -123,7 +123,7 @@ k <- drop_na(airquality, Ozone)
 #> drop_na: removed 37 rows (24%), 116 rows remaining
 ```
 
-### mutate, transmute, replace\_na, fill
+### mutate, transmute, replace_na, fill
 
 ``` r
 a <- mutate(mtcars, new_var = 1)
@@ -146,12 +146,13 @@ h <- mutate(mtcars, am = recode(am, `0` = "zero", `1` = NA_character_))
 
 i <- transmute(mtcars, mpg = mpg * 2, gear = gear + 1, new_var = vs + am)
 #> transmute: dropped 9 variables (cyl, disp, hp, drat, wt, …)
+#> transmute: dropped 9 variables (cyl, disp, hp, drat, wt, …)
 #>            changed 32 values (100%) of 'mpg' (0 new NAs)
 #>            changed 32 values (100%) of 'gear' (0 new NAs)
 #>            new variable 'new_var' (double) with 3 unique values and 0% NA
 
 j <- replace_na(airquality, list(Solar.R = 1))
-#> replace_na: converted 'Solar.R' from integer to double (7 fewer NA)
+#> replace_na: changed 7 values (5%) of 'Solar.R' (7 fewer NAs)
 k <- fill(airquality, Ozone)
 #> fill: changed 37 values (24%) of 'Ozone' (37 fewer NAs)
 ```
@@ -241,7 +242,7 @@ b <- iris %>%
 #> summarize_all: now 3 rows and 9 columns, ungrouped
 ```
 
-### tally, count, add\_tally, add\_count
+### tally, count, add_tally, add_count
 
 ``` r
 a <- mtcars %>% group_by(gear, carb) %>% tally
@@ -257,7 +258,7 @@ d <- mtcars %>% add_count(gear, carb, name = "count")
 #> add_count: new variable 'count' (integer) with 5 unique values and 0% NA
 ```
 
-### pivot\_longer, pivot\_wider
+### pivot_longer, pivot_wider
 
 ``` r
 longer <- mtcars %>%
@@ -267,7 +268,8 @@ longer <- mtcars %>%
 #> pivot_longer: reorganized (mpg, cyl, disp, hp, drat, …) into (var, value) [was 32x12, now 352x3]
 wider <- longer %>%
     pivot_wider(names_from = var, values_from = value)
-#> pivot_wider: reorganized (var, value) into (mpg, cyl, disp, hp, drat, …) [was 352x3, now 32x12]
+#> pivot_wider: reorganized (var, value) into (mpg, cyl, disp, hp, drat, …) [was
+#> 352x3, now 32x12]
 ```
 
 Tidylog also supports `gather` and `spread`.

cran-comments.md

@@ -1,12 +1,13 @@
-This is a submission for version 1.0.2.
-
 ## Test environments
 
-* local OS X, R 3.6.1
-* CRAN win-builder: R-devel and R-release
-* R-Hub: rhub::check_for_cran()
-* ubuntu 14.04 (on travis-ci), R 3.6.1
+* local OS X, R 4.2.0
+* CRAN win-builder: R-devel
+* GitHub Actions: macos, win, linux
 
 ## R CMD check results
 
-No ERRORs, WARNINGSs, or NOTES.
+No ERRORs or WARNINGSs.
+
+1 NOTE:
+* Error: CRAN URL not in canonical form vignette](https://cran.r-project.org/web/packages/tidylog/vignettes/benchmarks.html)
+> this is spurious as the link is not to a package but to a vignette.

man/transmute.Rd

@@ -6,12 +6,12 @@ that prints information about the operation}
 transmute(.data, ...)
 }
 \arguments{
-\item{.data}{see \link[dplyr:mutate]{transmute}}
+\item{.data}{see \link[dplyr:transmute]{transmute}}
 
-\item{...}{see \link[dplyr:mutate]{transmute}}
+\item{...}{see \link[dplyr:transmute]{transmute}}
 }
 \value{
-see \link[dplyr:mutate]{transmute}
+see \link[dplyr:transmute]{transmute}
 }
 \description{
 Wrapper around dplyr::transmute

tests/testthat/test_join.R

@@ -107,7 +107,7 @@ b <- data.frame(x = c(1, 2, 2, 4), z = 1:4)
 
 test_that("univariate inner join has all columns, repeated matching rows", {
     msg <- capture_messages({
-        j <- tidylog::inner_join(a, b, "x")
+        j <- tidylog::inner_join(a, b, "x", relationship = "many-to-many")
     })
 
     # one row from x not included
@@ -139,7 +139,7 @@ test_that("univariate semi join has x columns, matching rows", {
 
 test_that("univariate full join has all columns, all rows", {
     msg <- capture_messages({
-        j <- tidylog::full_join(a, b, "x")
+        j <- tidylog::full_join(a, b, "x", relationship = "many-to-many")
     })
 
     # one row from x included
@@ -155,7 +155,7 @@ test_that("univariate full join has all columns, all rows", {
 
 test_that("univariate left join has all columns, all rows", {
     msg <- capture_messages({
-        j <- tidylog::left_join(a, b, "x")
+        j <- tidylog::left_join(a, b, "x", relationship = "many-to-many")
     })
 
     # one row from x included
@@ -171,7 +171,7 @@ test_that("univariate left join has all columns, all rows", {
 
 test_that("univariate right join has all columns, all rows", {
     msg <- capture_messages({
-        j <- tidylog::right_join(a, b, "x")
+        j <- tidylog::right_join(a, b, "x", relationship = "many-to-many")
     })
 
     # one row from x not included